Amazon Kinesis Firehose

Amazon Kinesis Firehose Developer Jobs

2 jobs found

Today

Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$132k - $179k/yr Full time 3d Design Tools Amazon Emr Amazon Kinesis Firehose

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Job Description

Amazon Live’s DESA team is hiring a Data Engineer to help shape forward-looking data architecture and deliver durable, reusable data assets. In this role, you’ll design data layers and build ML-ready datasets that support executive reporting, model training, and downstream ML features, with an emphasis on data quality and reliable ETL delivery.

This position is based in Seattle, WA and is an onsite role. The salary range is USD 132,100 to 178,800 per year, and the role calls for 3+ years of data engineering experience.

What you’ll do

Design and build a content metadata layer that unifies broadcast events, product catalog data, creator profiles, and show metadata into reusable assets for both dashboards and models.
Create cross-session shopper profile datasets that sessionize event data across visits and compute rolling engagement metrics, including frequency, recency, depth, and conversion lag.
Build integration pipelines that connect retail catalog and advertising performance data into the Amazon Live platform to expand analytics and ML signal coverage.
Produce structured, ML-ready datasets that feed Applied Scientists’ models and provide features for downstream ranking and personalization systems.
Own data quality through proactive monitoring and anomaly detection to stay ahead of issues.
Advance ETL platform maturity with CI/CD for ETL (BDT/Maestro), standardized deployment, and AI-assisted code generation and review.
Partner with Applied Scientists, MLEs, DEs, and the BIE to align data assets to model, serving, and reporting needs.

Requirements

3+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
SQL experience.
Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Experience with non-relational databases and data stores, such as object storage, document or key-value stores, graph databases, or column-family databases.

Technologies

SQL
AWS
Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance (medical, dental, vision, prescription), Basic Life & AD&D, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy Reimbursement coverage.
401(k) matching.
Paid time off.
Parental leave.
Sign-on payments.
Restricted stock units (RSUs).

A day in the life

Move quickly across a broad surface area, from designing denormalized content metadata assets to integrating new retail or advertising data sources, hardening ETL CI/CD, building data-quality alarms, and packaging features for distribution ranking systems.
Partner daily with Applied Scientists, MLEs, DEs, and the BIE to scope what to build and how datasets will be consumed, supported by self-serve analytics agents and agentic operational tooling.
Work across the full data lifecycle with real ownership, contributing to both foundational infrastructure and model-ready data.

About the team

The DESA team owns the data platform, analytics, and sciences for Amazon Live and Shop the Show.
It is a compact, senior, high-trust team: DEs own infrastructure and foundational data assets, the BIE owns executive reporting, Applied Scientists and MLEs own models and experiments, and collaboration happens across these boundaries.
As a Data Engineer, you’ll own forward-looking data architecture and gain exposure from event ingestion through production ML and leadership reporting.
Your datasets serve as shared org infrastructure for attribution models, ranking features, and the reporting the business runs on.

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1mo ago

Data Engineer II, Business Data Technologies

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

$132k - $179k/yr Full time Amazon Emr Amazon Kinesis Firehose Amazon Web Services

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Join Amazon eCommerce Foundation’s Business Data Technologies team to build large-scale data platforms for analytics and deep learning in a high-volume environment.

Responsibilities

Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and deep learning
Build real-time and batch data ingestion routines using data modeling best practices and ETL/ELT processes on AWS and big data tooling
Collect business and functional requirements and translate them into robust, scalable, operable solutions within the broader data architecture
Analyze source data systems and drive best practices with source teams
Own the full development lifecycle from design and implementation through testing, documentation, delivery, support, and ongoing maintenance
Create comprehensive, usable dataset documentation and metadata
Review peer-proposed dataset implementations and make decisions on recommended approaches
Evaluate and decide on the adoption of new or existing software products and tools
Mentor junior data engineers

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines

Technologies

AWS
Redshift
Hive
Spark
EMR
RDBMS
S3
AWS Glue
Kinesis
FireHose
Lambda
IAM roles and permissions
Real-time and batch data processing
ETL/ELT
Data modeling
Non-relational databases/data stores, including object storage, document or key-value stores, graph databases, and column-family databases

About the Team

Business Data Technologies (BDT) collects petabytes of data from thousands of data sources inside and outside Amazon
Sources include the Amazon catalog system, inventory system, customer order system, page views on the website, and Alexa systems
Supports Amazon subsidiaries such as IMDB and Audible
Enables internal customer access and querying hundreds of thousands of times per day using AWS Redshift, Hive, and Spark
Builds scalable solutions that grow with the Amazon business

Role Context

Amazon’s eCommerce Foundation (eCF) organization delivers core components for the Amazon website and customer experience
As an Amazon Data Engineer II, you will work in a large cloud-based data lake environment
Focus area includes architecture of enterprise data warehouse solutions using multiple platforms (EMR, RDBMS, columnar, cloud) and design/creation/management of extremely large datasets
Collaborate with business owners to define key business questions and build datasets that answer them
Work with huge datasets to combine datasets and drive change

Benefits

Health insurance (medical, dental, vision, prescription), Basic Life & AD&D, and option for Supplemental life plans
EAP and Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Preferred Qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)

Location: Seattle, WA (onsite) | Salary: USD 132,100 - 178,800 per year | Experience: 3+ years

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Amazon Kinesis Firehose Developer Jobs

Data Engineer

Data Engineer II, Business Data Technologies

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